The role of sarcopenia questionnaires in hospitalized patients with chronic heart failure

Prognostic factors in patients with heart failure and sarcopenia: an observational retrospective study

BACKGROUND

Heart failure (HF) prevalence increases with age, and sarcopenia is a poor prognostic factor in patients with HF. We aimed to evaluate the characteristics and prognostic factors in patients with HF and sarcopenia.

RESULTS

We retrospectively reviewed 256 consecutive patients admitted to our hospital for HF between May 2018 and May 2021, underwent dual-energy X-ray absorptiometry, and were diagnosed with sarcopenia. The primary endpoint was all-cause mortality. The prognoses and characteristics were evaluated and compared between patients with left ventricular ejection fraction (LVEF) < 50% (reduced LVEF, HF with reduced ejection fraction [HFrEF]) and those with LVEF ≥ 50% (preserved LVEF, HF with preserved ejection fraction [HFpEF]). 83 (32%) and 173 (68%) patients had HFrEF and HFpEF, respectively. The HFrEF group had fewer women, lower hypertension rates, higher ischemic heart disease rates, and brain natriuretic peptide (BNP) levels than did the HFpEF group. Kaplan-Meier analysis for all-cause death showed that the HFrEF group had a significantly worse prognosis than the HFpEF group [log-rank p = 0.002].

CONCLUSIONS

In patients with HF and sarcopenia, older age, higher New York Heart Association (NYHA) class, BNP levels, and reduced LVEF were independent predictors of death after evaluation. During the treatment of patients with HF and sarcopenia, it is necessary to manage treatment with close attention to BNP and LVEF.

Frailty and Metabolic Vulnerability in Heart Failure: A Community Cohort Study

BACKGROUND

Frailty is common in heart failure (HF) and is associated with death but not routinely captured clinically. Frailty is linked with inflammation and malnutrition, which can be assessed by a novel plasma multimarker score: the metabolic vulnerability index (MVX). We sought to evaluate the associations between frailty and MVX and their prognostic impact.

METHODS AND RESULTS

In an HF community cohort (2003-2012), we measured frailty as a proportion of deficits present out of 32 physical limitations and comorbidities, MVX by nuclear magnetic resonance spectroscopy, and collected extensive longitudinal clinical data. Patients were categorized by frailty score (≤0.14, >0.14 and ≤0.27, >0.27) and MVX score (≤50, >50 and ≤60, >60 and ≤70, >70). Cox models estimated associations of frailty and MVX with death, adjusted for Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score and NT-proBNP (N-terminal pro-B-type natriuretic peptide). Uno's C-statistic measured the incremental value of MVX beyond frailty and clinical factors. Weibull's accelerated failure time regression assessed whether MVX mediated the association between frailty and death. We studied 985 patients (median age, 77; 48% women). Frailty and MVX were weakly correlated (Spearman's ρ=0.21). The highest frailty group experienced an increased rate of death, independent of MVX, MAGGIC score, and NT-proBNP (hazard ratio, 3.3 [95% CI, 2.5-4.2]). Frailty improved Uno's c-statistic beyond MAGGIC score and NT-proBNP (0.69-0.73). MVX only mediated 3.3% and 4.5% of the association between high and medium frailty groups and death, respectively.

CONCLUSIONS

In this HF cohort, frailty and MVX are weakly correlated. Both independently contribute to stratifying the risk of death, suggesting that they capture distinct domains of vulnerability in HF.

Sarcopenia is linked to higher levels of B-type natriuretic peptide and its N-terminal fragment in heart failure: a systematic review and meta-analysis

AIMS

Sarcopenia is linked to impaired physical function and exercise tolerance. The aim of this systematic review and meta-analysis was to examine the association of sarcopenia and low appendicular skeletal muscle (ASM) with biomarkers of cardiac function, B-type natriuretic peptide (BNP) and its N-terminal fragment (NT-proBNP), in patients with heart failure (HF).

METHODS AND RESULTS

From inception until May 2023, a systematic literature search of observational studies was undertaken utilizing the PubMed, Web of Science, Scopus, and Cochrane Library databases. A meta-analysis employing a random-effects model was used to compute the pooled effects (CRD42023418465). Overall, 16 studies were included in this systematic review and meta-analysis. Our main analysis showed that sarcopenia in HF was linked to significantly higher levels of BNP (MD: 87.76, 95% CI 20.74-154.78, I2 = 61%, P = 0.01) and NT-proBNP (MD: 947.45, 95% CI 98.97-1795.93, I2 = 35%, P = 0.03). Similarly, low ASM was associated with significantly higher levels of BNP (MD: 118.95, 95% CI 46.91-191.00, I2 = 93%, P < 0.01) and NT-proBNP (MD: 672.01, 95% CI 383.72-960.30, I2 = 2%, P < 0.01). The quality of the included cohort studies was considered moderate, using the binary AXIS checklist and the Cochrane Tool to Assess the Risk of Bias in Cohort Studies.

CONCLUSIONS

In patients with HF, sarcopenia and reduced ASM are associated with considerably higher plasma levels of BNP and NT-proBNP. Future research is required to investigate whether sarcopenia may express dysregulated biomarkers of cardiac function.

Clinical Impact of Improvement in Sarcopenia through Cardiac Rehabilitation in Patients with Heart Failure

OBJECTIVES

Sarcopenia in patients with heart failure (HF) is associated with poor prognosis. Cardiac rehabilitation (CR) decreases the incidence of adverse events in patients with HF. However, the clinical implications of improving sarcopenia status through CR remain unclear. This study investigated the relationship between the changes in sarcopenia status in patients with HF undergoing outpatient CR and the risk of mortality and adverse events.

DESIGN

This was a retrospective cohort study of patients hospitalized at the Kitasato University Hospital Cardiovascular Center for the treatment of HF between January 2007 and December 2020.

SETTING AND PARTICIPANTS

Patients with HF whose sarcopenia status was assessed at hospital discharge and following at least 3 months of outpatient CR were included. Based on the sarcopenia status, all patients were divided into 3 groups: patients without sarcopenia at discharge (ie, robust), patients with sarcopenia at discharge but no sarcopenia following CR (ie, improved), and patients with sarcopenia at discharge and following CR (ie, unimproved).

METHODS

Cox regression analysis was used to examine the risk of all-cause death associated with the 3 sarcopenia status groups.

RESULTS

Of 546 patients with HF (median age: 70 years; male: 63.6%), 377 (69.0%), 54 (9.9%), and 115 (21.1%) were classified as robust, improved, and unimproved, respectively. Multivariate Cox regression analysis showed that the unimproved group had a significantly greater risk of all-cause death when compared to the robust group [hazard ratio (HR) 2.603, 95% CI 1.375-4.930, P = .004], but it did not differ from the improved group (HR 1.403, 95% CI 0.598-3.293, P = .43).

CONCLUSIONS AND IMPLICATIONS

No improvement in sarcopenia status in patients with HF undergoing outpatient CR was associated with a higher risk of all-cause death. Sarcopenia may be an important target to improve the prognosis of patients with HF.

Sarcopenia and cardiovascular diseases: A systematic review and meta-analysis

Sarcopenia is an age-related disease and is often accompanied by other diseases. Now, many studies have shown that cardiovascular diseases (CVDs) may raise the incidence rate of sarcopenia. Therefore, the purpose of this study was to conduct a systematic review and meta-analysis to investigate the prevalence of sarcopenia in patients with CVDs compared with the general population, defined as relatively healthy non-hospitalized subjects. The databases of PubMed, Embase, Medline and Web of Science were searched for eligible studies published up to 12 November 2022. Two assessment tools were used to evaluate study quality and the risk of bias. Statistical analysis was conducted using STATA 14.0 and R Version 4.1.2. Thirty-eight out of the 89 629 articles retrieved were included in our review. The prevalence of sarcopenia ranged from 10.1% to 68.9% in patients with CVDs, and the pooled prevalence was 35% (95% confidence interval [95% CI]: 28-42%). The pooled prevalence of sarcopenia was 32% (95% CI: 23-41%) in patients with chronic heart failure (CHF), 61% (95% CI: 49-72%) in patients with acute decompensated heart failure (ADHF), 43% (95% CI: 2-85%) in patients with coronary artery disease, 30% (95% CI: 25-35%) in patients with cardiac arrhythmia (CA), 35% (95% CI: 10-59%) in patients with congenital heart disease and 12% (95% CI: 7-17%) in patients with unclassed CVDs. However, in the general population, the prevalence of sarcopenia varied from 2.9% to 28.6% and the pooled prevalence was 13% (95% CI: 9-17%), suggesting that the prevalence of sarcopenia in patients with CVDs was about twice compared with the general population. The prevalence of sarcopenia was significantly higher only in patients with ADHF, CHF and CA compared with the general population. There is a positive correlation between CVDs and sarcopenia. The prevalence of sarcopenia is higher in patients with CVDs than that in the general population. With global aging, sarcopenia has brought a heavy burden to individuals and society. Therefore, it is important to identify the populations with high-risk or probable sarcopenia in order to do an early intervention, such as exercise, to counteract or slow down the progress of sarcopenia.

Automatic detection of A-line in lung ultrasound images using deep learning and image processing

BACKGROUND

Auxiliary diagnosis and monitoring of lung diseases based on lung ultrasound (LUS) images is important clinical research. A-line is one of the most common indicators of LUS that can offer support for the assessment of lung diseases. A traditional A-line detection method mainly relies on experienced clinicians, which is inefficient and cannot meet the needs of these areas with backward medical level. Therefore, how to realize the automatic detection of A-line in LUS image is important.

PURPOSE

In order to solve the disadvantages of traditional A-line detection methods, realize automatic and accurate detection, and provide theoretical support for clinical application, we proposed a novel A-line detection method for LUS images with different probe types in this paper.

METHODS

First, the improved Faster R-CNN model with a selection strategy of localization box was designed to accurately locate the pleural line. Then, the LUS image below the pleural line was segmented for independent analysis excluding the influence of other similar structures. Next, image-processing methods based on total variation, matched filter, and gray difference were applied to achieve the automatic A-line detection. Finally, the "depth" index was designed to verify the accuracy by judging whether the automatic measurement results belong to corresponding manual results (±5%). In experiments, 3000 convex array LUS images were used for training and validating the improved pleural line localization model by five-fold cross validation. 850 convex array LUS images and 1080 linear array LUS images were used for testing the trained pleural line localization model and the proposed image-processing-based A-line detection method. The accuracy analysis, error statistics, and Harsdorff distance were employed to evaluate the experimental results.

RESULTS

After 100 epochs, the mean loss value of training and validation set of improved Faster R-CNN model reached 0.6540 and 0.7882, with the validation accuracy of 98.70%. The trained pleural line localization model was applied in the testing set of convex and linear probes and reached the accuracy of 97.88% and 97.11%, respectively, which were 3.83% and 8.70% higher than the original Faster R-CNN model. The accuracy, sensitivity, and specificity of A-line detection reached 95.41%, 0.9244%, 0.9875%, and 94.63%, 0.9230%, and 0.9766% for convex and linear probes, respectively. Compared to the experienced clinicians' results, the mean value and p value of depth error were 1.5342 ± 1.2097 and 0.9021, respectively, and the Harsdorff distance was 5.7305 ± 1.8311. In addition, the accumulated accuracy of the two-stage experiment (pleural line localization and A-line detection) was calculated as the final accuracy of the whole A-line detection system. They were 93.39% and 91.90% for convex and linear probes, respectively, which were higher than these previous methods.

CONCLUSIONS

The proposed method combining image processing and deep learning can automatically and accurately detect A-line in LUS images with different probe types, which has important application value for clinical diagnosis.

Prevalence of sarcopenia in heart failure: A systematic review

OBJECTIVE

Heart Failure (HF) is emerging as a crucial factor promoting muscle wasting and dysfunction contributing to sarcopenia. This modulates disease severity and reduces exercise capacity and leading to poorer outcomes. Therefore, we aimed to systematically investigate the overall prevalence of sarcopenia in HF.

METHODS

An electronic search was carried out in selected databases until 21st January, 2021. Data was pooled from the included articles and represented as pooled prevalence of sarcopenia. Subgroup analysis was undertaken between methods of diagnosis of sarcopenia, gender, ejection fraction, median time point and geographical region.

RESULTS

Amongst 32,643 citations imported from selected databases, 12 articles were included in final analysis. Analysis for prevalence of sarcopenia was 34%, with prevalence rates ranging from 10.1% to 68%. Subgroup analysis revealed strong associations between Dual-energy X-ray Absorptiometry (DXA) and Asian Working Group for Sarcopenia (AWGS) (chi square = 3.24; p < 0.001), with a good level of agreement (kappa = 0.76 [95% CI: 0.70-0.82]; p < 0.001). Gender wise analysis revealed higher prevalence of sarcopenia among males (66%) than females (34%).

CONCLUSION

Sarcopenia is highly prevalent among those with HF (irrespective of type of HF) and is more commonly seen in males compared to females.

Sarcopenia in heart failure: a systematic review and meta-analysis

AIMS

Sarcopenia has been found to be frequently associated with co-morbidity among patients with heart failure (HF). However, there remain insufficient data to accurately estimate the global prevalence of sarcopenia in HF. Therefore, the purpose of this research was to conduct a systematic review and meta-analysis to estimate the current overall prevalence of sarcopenia in patients with HF.

METHODS AND RESULTS

We searched relevant databases for studies published up to 13 July 2020, assessing sarcopenia in vpatients with HF. After careful screening, data of included articles were extracted with a predesigned Excel form. Then the pooled prevalence of sarcopenia in patients with HF was calculated using the random-effects model. The Q test was used to assess the heterogeneity, and I2 statistic was calculated to quantify and evaluate the heterogeneity. Subgroup analyses were conducted to determine potential sources of heterogeneity. A total of 2852 articles were initially identified, and after removing duplicate publications and applying the selection criteria, we reviewed 79 full-text articles. Finally, 11 articles (n = 1742 patients with HF) were included in this systematic review and meta-analysis. The pooled prevalence of sarcopenia in patients with HF was 34% [95% confidence interval (CI): 22-47%, I2  = 96.59%] and ranged from 10% to 69%. However, substantial heterogeneity between studies (I2  = 96.59%, P < 0.001) was observed. There was no significant heterogeneity between subgroups by sex (P = 0.803) or the method used to define sarcopenia (P = 0.307). While the heterogeneity between subgroups by population setting was statistically significant (P < 0.001), the pooled prevalence of sarcopenia was 55% (95% CI: 43-66%) for hospitalized patients with HF and 26% (95% CI: 16-37%) for ambulatory patients.

CONCLUSIONS

Sarcopenia was a common condition in patients with HF, and the prevalence of hospitalized patients was higher than for ambulatory patients. Early detection of sarcopenia was therefore important in patients with HF, and it was important to implement interventions so that physical therapists or managerial dieticians can easily be introduced into clinical practice.

Sarcopenia Risk Evaluation in a Sample of Hospitalized Elderly Men and Women: Combined Use of the Mini Sarcopenia Risk Assessment (MSRA) and the SARC-F

Background: SARC-F and Mini Sarcopenia Risk Assessment (MSRA) questionnaires have been proposed as screening tools to identify patients at risk of sarcopenia. The aim of this study is to test the use of SARC-F and MSRA, alone and combined, as a pre-screening tool for sarcopenia in geriatric inpatients. Methods: 152 subjects, 94 men and 58 women, aged 70 to 94, underwent muscle mass evaluation by dual energy X-ray absorptiometry (DXA), muscle strength evaluation by handgrip, and completed the MSRA, SARC-F and Activity of daily living (ADL) questionnaires. Results: 66 subjects (43.4%) were classified as sarcopenic according to the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. The 7-item SARC-F and MRSA and 5-item MSRA showed an area under the curve (AUC) of 0.666 (95% confidence interval (CI): 0.542–0.789), 0.730 (95% CI: 0.617–0.842) and 0.710 (95% CI: 0.593–0.827), respectively. The optimal cut-off points for sarcopenia detection were determined for each questionnaire using the Youden index method. The newly calculated cut-off points were ≤25 and ≤40 for MSRA 7- and 5-items, respectively. The ideal cut-off for the SARC-F was a score ≥3. Applying this new cut-off in our study population, sensitivity and specificity of the 7-item MSRA were 0.757 and 0.651, and 0.688 and 0.679 for the 5-item MSRA, respectively. Sensitivity and specificity of SARC-F were 0.524 and 0.765, respectively. The combined use of the 7-item SARC-F and MSRA improved the accuracy in sarcopenia diagnosis, with a specificity and sensitivity of 1.00 and 0.636. Conclusion: 7-item SARC-F and MSRA may be co-administered in hospital wards as an easy, feasible, first-line tool to identify sarcopenic subjects.